Use full media types (image/jpeg, video/mp4, application/pdf) instead of suffixes (jpeg/mp4/pdf) when constructing LiteLLM payloads
This fxes compatibility with providers that validate media types (Anthropic)
Updated and added unit tests to assert full MIME types for image/video/pdf
PiperOrigin-RevId: 800685204
original tests assert too strict time boundary, now we only assert the parallel execution time should be less than sequential execution time
PiperOrigin-RevId: 800563929
The transcription change breaks the multi-agent transfer during live/bidi.
Updates `GeminiLlmConnection` to populate the `content` field of `LlmResponse` with `types.Content` and `types.Part` objects for both input and output transcriptions, instead of using dedicated transcription fields. Also removes a debug print from `audio_cache_manager.py`.
the transcription is not fully ready to be used yet so roll back the transcription change.
PiperOrigin-RevId: 799851950
- Keep original class names for backward-compatibility.
- Log warning if user instantiate the classes with original names.
- New names are more aligned with MCP SDKs convention.
PiperOrigin-RevId: 799777320
Merge https://github.com/google/adk-python/pull/2563
Currently in adk deploy cloud_run or gke, the dockerfile copies the agent code after the file permission is set. This can lead to file permission not being set correctly for the container to open and read the file.
This PR will make sure the files are copied with the permission of the user that is set in the container.
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/2563 from moficodes:deploy-docker d7f6df4d893af75b360e6d96ffd2640ce6076ca2
PiperOrigin-RevId: 799371070
Merge https://github.com/google/adk-python/pull/2544
The command `adk deploy cloud_run` supports limited `gcloud run deploy` args 😢.
Which makes the command fine for simple deployments...
It should support all current and future Cloud Run deployment args for the command to be widely adopted.
This can easily be done by passing through all extra args passed to `adk deploy cloud_run` to gcloud...
This PR assumes any extra args/flags passed after `AGENT_PATH` are gcloud flags.
## Example
```sh
# ADK flags
adk deploy cloud_run \
--project=$GOOGLE_CLOUD_PROJECT \
--region=$GOOGLE_CLOUD_LOCATION \
$AGENT_PATH \
# Use the -- separator for gcloud args
-- \
--min-instances=2 \
--no-allow-unauthenticated
```
This gives full Cloud Run feature support to ADK users 🤖🚀
## Test Plan
To test you can just build locally or pip install feature branch directly:
```
uv venv
uv pip install git+https://github.com/jackwotherspoon/adk-python.git
```
Deploy to Cloud Run using additional arguments following `AGENT_PATH`, such as `--min-instance=2` or `--description="Cloud Run test"`:
```sh
uv run adk deploy cloud_run \
--project=$GOOGLE_CLOUD_PROJECT \
--region=$GOOGLE_CLOUD_LOCATION \
--with_ui \
$AGENT_PATH \
-- \
--labels=test-label=adk \
--min-instances=2
```
You can click on the Cloud Run service after deployment and check the service yaml, you should see the additional label etc.
<img width="1612" height="622" alt="image" src="https://github.com/user-attachments/assets/596a260a-0052-460b-9642-c18900ccf7c9" />
Fixes https://github.com/google/adk-python/issues/2351
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/2544 from jackwotherspoon:main 184a4d73f8dbe6f565ff92cf1c1fe69bb163de5e
PiperOrigin-RevId: 799252544
Merge https://github.com/google/adk-python/pull/2409
Description:
This PR Fixes: #2407
The AgentTool in /google/adk/tools/agent_tool.py uses a hardcoded user_id='tmp_user' when creating a new session for the agent it wraps. This happens within the run_async method.
code snippet
... @override async def run_async( self, *, args: dict[str, Any], tool_context: ToolContext, ) -> Any: ... session = await runner.session_service.create_session( app_name=self.agent.name, user_id='tmp_user', # <-- This is hardcoded state=tool_context.state.to_dict(), ) ...
Why is this a problem?
This hardcoding breaks the chain of user identity. When a parent agent calls a sub-agent via the AgentTool, the original user_id is lost. Any tool or logic inside the sub-agent that needs to perform user-specific actions (e.g., accessing user data from a database, retrieving user-specific memory, checking permissions) will fail or operate on the wrong context because it receives 'tmp_user' instead of the actual user's ID.
Impact:
This prevents the creation of robust, multi-agent applications where user context must be maintained across different agents and tools. It limits the utility of AgentTool to only stateless sub-agents that do not require user-specific information.
Suggested Fix:
The user_id should be retrieved from the parent context, which is available via the tool_context parameter passed into run_async. The create_session call should be updated to use the dynamic user_id from the parent session.For example, the fix might involve accessing the user ID from the tool_context.
code-snippet
session = await runner.session_service.create_session( app_name=self.agent.name, user_id=tool_context._invocation_context.user_id, state=tool_context.state.to_dict(), )
To Reproduce
Steps to reproduce the behavior:
To reproduce this bug, we need to set up a two-agent system: a ParentAgent that calls a ChildAgent using the AgentTool. The ChildAgent will have a tool designed to simply return the user_id it receives from its context.
Expected behavior
It should return the user_id of the user calling the agent,
but, in current situation we are getting tmp_user
COPYBARA_INTEGRATE_REVIEW=https://github.com/google/adk-python/pull/2409 from akshaypachpute-1998:fix-issue-2407-agent-tool-context-propogation 0c3e8656fdf11386e3ab13a3a1f2df99a396dbd1
PiperOrigin-RevId: 798315832
